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Title: Coupling Sensing Hardware with Data Interrogation Software for Structural Health Monitoring

Abstract

The process of implementing a damage detection strategy for aerospace, civil and mechanical engineering infrastructure is referred to as structural health monitoring (SHM). The authors' approach is to address the SHM problem in the context of a statistical pattern recognition paradigm. In this paradigm, the process can be broken down into four parts: (1) Operational Evaluation, (2) Data Acquisition and Cleansing, (3) Feature Extraction and Data Compression, and (4) Statistical Model Development for Feature Discrimination. These processes must be implemented through hardware or software and, in general, some combination of these two approaches will be used. This paper will discuss each portion of the SHM process with particular emphasis on the coupling of a general purpose data interrogation software package for structural health monitoring with a modular wireless sensing and processing platform. More specifically, this paper will address the need to take an integrated hardware/software approach to developing SHM solutions.

Authors:
 [1];  [1];  [1];  [2];  [2]
  1. Los Alamos National Laboratory, Engineering Sciences & Applications, MS T-001, Los Alamos, NM 87545, USA
  2. Motorola Labs, Los Alamos Research Park, 4200 West Jemez Road, Suite 300, Los Alamos, NM 87544, USA
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1307782
Resource Type:
Published Article
Journal Name:
Shock and Vibration
Additional Journal Information:
Journal Name: Shock and Vibration Journal Volume: 13 Journal Issue: 4-5; Journal ID: ISSN 1070-9622
Publisher:
Hindawi Publishing Corporation
Country of Publication:
Egypt
Language:
English

Citation Formats

Farrar, Charles R., Allen, David W., Park, Gyuhae, Ball, Steven, and Masquelier, Michael P. Coupling Sensing Hardware with Data Interrogation Software for Structural Health Monitoring. Egypt: N. p., 2006. Web. doi:10.1155/2006/164382.
Farrar, Charles R., Allen, David W., Park, Gyuhae, Ball, Steven, & Masquelier, Michael P. Coupling Sensing Hardware with Data Interrogation Software for Structural Health Monitoring. Egypt. doi:10.1155/2006/164382.
Farrar, Charles R., Allen, David W., Park, Gyuhae, Ball, Steven, and Masquelier, Michael P. Sun . "Coupling Sensing Hardware with Data Interrogation Software for Structural Health Monitoring". Egypt. doi:10.1155/2006/164382.
@article{osti_1307782,
title = {Coupling Sensing Hardware with Data Interrogation Software for Structural Health Monitoring},
author = {Farrar, Charles R. and Allen, David W. and Park, Gyuhae and Ball, Steven and Masquelier, Michael P.},
abstractNote = {The process of implementing a damage detection strategy for aerospace, civil and mechanical engineering infrastructure is referred to as structural health monitoring (SHM). The authors' approach is to address the SHM problem in the context of a statistical pattern recognition paradigm. In this paradigm, the process can be broken down into four parts: (1) Operational Evaluation, (2) Data Acquisition and Cleansing, (3) Feature Extraction and Data Compression, and (4) Statistical Model Development for Feature Discrimination. These processes must be implemented through hardware or software and, in general, some combination of these two approaches will be used. This paper will discuss each portion of the SHM process with particular emphasis on the coupling of a general purpose data interrogation software package for structural health monitoring with a modular wireless sensing and processing platform. More specifically, this paper will address the need to take an integrated hardware/software approach to developing SHM solutions.},
doi = {10.1155/2006/164382},
journal = {Shock and Vibration},
number = 4-5,
volume = 13,
place = {Egypt},
year = {2006},
month = {1}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.1155/2006/164382

Citation Metrics:
Cited by: 11 works
Citation information provided by
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